Fabrication of 3D-printed hygromorphs based on different cellulosic fillers

Matthias Langhansl, Jörg Dörrstein, Peter Hornberger, Cordt Zollfrank
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引用次数: 4

Abstract

The aim of this work is to characterize the moisture-dependent actuation behavior of bioinspired and additively manufactured hygromorphs based by following deductive and inductive design approaches. Fused Filament Fabrication (FFF) is employed to print bilayered structures consisting of swellable active layers and rigid passive layers. The active layer is composed of a polylactic acid (PLA) matrix filled with different hygroscopic cellulosic materials (native and modified) up to a filler content of 50?m%. Acrylonitrile Butadiene Styrene (ABS) is used for the passive layer. The FFF process allows the generation of desired differential swelling properties in the composites upon moisture absorption. The moisture dependent actuation strain of the printed bilayers was determined by video analyses. Some influencing geometrical factors which contribute to the actuation were deduced from x-ray diffraction (XRD) and micro computed tomography (μCT). The investigation of the mean cellulose microfibril orientation on the surface of the active layer suggested a preferential orientation with respect to printing direction. Furthermore, a gradient of cellulosic material within a single printed layer was observed, which indicates fiber sedimentation. Comparison with the thermomechanical model derived from Timoshenko (1925) shows that the computational prediction of the moisture dependent actuation is considerably accurate for most selected cellulosic materials and filler contents.

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基于不同纤维素填料的3d打印湿形态的制备
这项工作的目的是通过以下演绎和归纳设计方法来表征生物启发和增材制造的湿形态的水分依赖驱动行为。采用熔丝制造技术(FFF)打印由可膨胀的主动层和刚性的被动层组成的双层结构。活性层由聚乳酸(PLA)基质组成,填充不同的吸湿性纤维素材料(天然的和改性的),填料含量高达50 μ m%。钝化层采用丙烯腈-丁二烯-苯乙烯(ABS)。FFF工艺允许复合材料在吸湿后产生所需的不同膨胀特性。通过视频分析确定了打印双层膜的水分相关驱动应变。通过x射线衍射仪(XRD)和微计算机断层扫描仪(μCT)分析,推导了影响驱动的几何因素。对活性层表面纤维素微纤维平均取向的研究表明,相对于打印方向,纤维素微纤维具有优先取向。此外,在单个印刷层内观察到纤维素材料的梯度,这表明纤维沉积。与Timoshenko(1925)导出的热力学模型的比较表明,对于大多数选定的纤维素材料和填料含量,水分依赖驱动的计算预测相当准确。
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